火力与指挥控制2026，Vol.51Issue(7)：57-66,10.DOI:10.3969/j.issn.1002-0640.2026.07.009
CEA-RT-DETR:一种军事迷彩伪装目标检测算法
CEA-RT-DETR:A Military Camouflage Target Detection Algorithm
摘要
Abstract
Military camouflage target detection is a challenging task due to the high similarity between targets and complex backgrounds.To address the issues of low detection precision and poor real-time performance,this paper proposes an improved algorithm named CEA-RT-DETR.First,a cross-level edge feature integration backbone network is designed to focus on edge regions by incorporating a gradient edge information extractor and a progressive feature aggregation module.Second,an enhanced spatial feature pyramid network is adopted in the neck layer,which utilizes enhanced linear attention and semantic feature fusion to preserve multi-scale features.Finally,an additive-weighted feature mixer attention mechanism is implemented in the intra-scale feature interaction layer to capture texture and structural details.Experimental results demonstrate that the improved model significantly enhances detection performance.关键词
RT-DETR/边缘特征融合/多尺度特征/军事伪装目标/目标检测Key words
RT-DETR/edge feature integration/multi-scale features/military camouflage targets/target detection分类
信息技术与安全科学引用本文复制引用
李孟歆,姜浩宇,解乔雯,邢政汉,王海龙..CEA-RT-DETR:一种军事迷彩伪装目标检测算法[J].火力与指挥控制,2026,51(7):57-66,10.基金项目
国家自然科学基金(62133014) （62133014）
辽宁省教育厅基金资助项目(LJKZ0585) （LJKZ0585）
